benjvi
- lag is lower than other devices, perhaps low in absolute terms, but is it low enough? Perhaps not for all use-cases
- there are difficulties aligning virtual images (this part is very speculative as to how it relates to Apple’s headset design)
- difficulties tracking saccades - not sure under what use-cases this would show up as a problem, this hasn’t been mentioned in reviewers’ first impressions
- safety problems with obstruction of peripheral vision when moving around
Pretty interesting, but I think it reflects well on Apple that these are the class of problems being discussed. None of these things sound like absolute deal-breakers for a Gen1 device.Will it be useful though? It doesn’t do games or “presence”, or indeed seem very focussed on any uniquely AR/VR experiences right now. It’s not as good a monitor as a proper monitor (this analysis of VAC and resolution is pretty convincing). But it is portable. Maybe that in itself is enough?
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The point is, information on facebook is pseudo-public, not private and hopefully not too personal. Use it like this, and it don't think theres any problem. There are plenty of other options for more private or personal communications so its not like they have any monopoly power in this area. So, regardless of the dubiousness of Mark Zuckerberg's vision for open communications, i think the problems written about in this article reduce to a lot of hyperbole.
In the general case, the goals of the company and the employee are not always aligned so I don't think this is an easy problem to solve.
This is not a bad set of methods - there is some (varying) evidence to suggest that each of these is effective in improving habit adherence. However, there are loads more facts about habits that don't necessarily fit into this paradigm so neatly:
- Automaticity does not start to level of for a routine until at least a minimum of 20 days for quite a simple task, and it can be many times longer for more effortful tasks (like doing a daily workout). Average was 60 days but with a very high variance (http://onlinelibrary.wiley.com/doi/10.1002/ejsp.674/abstract... )
- A single failed repetition "breaking the chain" does not have any effect on the development of automaticity of the behaviour, only repeated failures tend have a negative effect - It has been suggested that it is much more difficult to try to build multiple habits in parallel rather than serially (although I cannot quite find an authoritative source just now)
- Habits have a structure: Cue -> Routine -> Reward. It is useful to understand the conditions and motivation for a routine before trying to replace it (substitution approach)
- Furthermore, if trying to establish a new habit to reach a goal you might find that there is no intrinsic reward in the routine. It will be very difficult to keep up the routine like that, and it may often be better to look for a different way to achieve the same goal
- Habit formation can in some cases be thought of as a rewiring of the instinctive valuation system. For example a resolution to eat healthily might be helped more by giving yourself more exposure to delicious meals consisting of mainly vegetables, than by a purely willpower-oriented method
For these reasons - I tend now to think "less is more".It should be more about focusing on one or two correct habits and continually reevaluating them than to rely on a plethora of different external motivators to get you to do a dozen different things every day
Also, PUFA = Polyunsaturated Faty Acids, EFA = Essential Fatty Acids. n3/n6 are more commonly (less precisely?) known as omega 3/omega 6 fatty acids.
From my personal, anecdotal experience the first intervention has been effective (and this seems to accord with the received recommendations wrt better health outcomes for those eating more vegetables and fish). But how clear are we on the outcomes of these simple and broadly applicable interventions have been made clear and concrete so far? The first goal for the science should surely be to end the debate on the proliferation "diseases of civilisation" which, to my understanding, we should be able to do by proving a difference in outcomes for these interventions and correlating them to the dietary shifts of the last 30 years
Medical statistics ( http://www.cancerresearchuk.org/cancer-info/cancerstats/surv... )show that overall cancer survival rates have been improving according to a linear trend - by an absolute amount of ~0.65% per year.
This would put the date at which cancer is "cured" at somewhere in the 2090s. So, are we talking about continuing this trend or surpassing it? How much of a step forward is this and is it likely to be applied trivially to other forms of cancer?
So, where is the incentive for the handyman to act like Albert? And how do you identify these people?
A secondary factor - driving a car like a Tesla communicates an image of environmental responsibility. Even if the government and energy companies aren't supporting renewable fuels, you are. When there is a wind turbine on every corner, and a solar panel on every roof, you will be ready with your Tesla. You're a good citizen, and a forward-thinker...
Further down the line, technologies like this could be a great thing for the rest of us too. We all experience peaks and troughs in our blood glucose and in those troughs we often feel tired, without really knowing why. It would be great to be able to have continuous feedback like "your blood glucose spiked and now is low after you drank that bottle of lemonade an hour ago". Something like this would really help people to make better decisions and would be a great boon for general public health.
Isn't this close to the most common understanding of the word "hipster"? People that are middle-class, want to stand out, and also come off as a bit arty.
And, just in case you are around when the shit does hit the fan, then, surely, you would want to have some evidence to show that you pushed to take action to correct the problems you saw. There's no mention even of any documentation of their concerns, which surely should be priority number one. I have seen similar (if less extreme) cases where developers knew about problems that no-one acted on. And guess what? When the impact from the problems became apparent, they took the blame, because they had no evidence to exonerate themselves. If the culture of the upper management is not as bad as you assume, then you will end up looking like the bad guy by keeping quiet.
I would have said that the undesirable practices that are mentioned - such as redlining - are the result of using crude, discriminatory heuristics rather than the result of having too much data about customers. This isn't necessarily a bad development - it could enable banks to lend to more marginal borrowers if they could see they had a strong support network. Clearly, if you have a good conventional credit record, then your social credit will hardly matter. Banks that use this new source of data stupidly won't do well.